DeepMind RL method promises better co-op between AI and humans

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. From Go to StarCraft to Dota, artificial intelligence researchers are creating reinforcement learning systems that can defeat human experts at complicated games. But the bigger challenge of AI is creating RL systems that can team up with humans instead of competing with them. In a new paper, AI researchers at DeepMind present a new technique to improve the capacity of reinforcement learning agents to cooperate with humans at different skill levels. Accepted at the annual NeurIPS conference, the technique is called Fictitious Co-Play (FCP) and it does not require human-generated data to train the RL agents.